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Dictionary Learning

Dictionary Learning is an important problem in multiple areas, ranging from computational neuroscience, machine learning, to computer vision and image processing. The general goal is to find a good basis for given data. More formally, in the Dictionary Learning problem, also known as sparse coding, we are given samples of a random vector $y\in\mathbb{R}^n$, of the form $y=Ax$ where $A$ is some unknown matrix in $\mathbb{R}^{n×m}$, called dictionary, and $x$ is sampled from an unknown distribution over sparse vectors. The goal is to approximately recover the dictionary $A$.

Source: Polynomial-time tensor decompositions with sum-of-squares

Papers

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Showing 376–400 of 823 papers

TitleStatusHype
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited DataCode0
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections—0
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and AlgorithmsCode0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
Non-negative representation based discriminative dictionary learning for face recognition—0
Classification of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography images using dictionary learning—0
Confident Kernel Sparse Coding and Dictionary Learning—0
Label Embedded Dictionary Learning for Image ClassificationCode0
Analysis Dictionary Learning: An Efficient and Discriminative Solution—0
Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series—0
Deep Interpretable Non-Rigid Structure from MotionCode0
NOODL: Provable Online Dictionary Learning and Sparse Coding—0
Unique Sharp Local Minimum in _1-minimization Complete Dictionary Learning—0
Convolutional Dictionary Regularizers for Tomographic Inversion—0
Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold—0
Dictionary learning approach to monitoring of wind turbine drivetrain bearings—0
TGAN: Deep Tensor Generative Adversarial Nets for Large Image GenerationCode0
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and SignalsCode0
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution—0
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images—0
A Greedy Approach to _0, Based Convolutional Sparse Coding—0
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals—0
Bayesian Mean-parameterized Nonnegative Binary Matrix FactorizationCode0
Graph Signal Representation with Wasserstein Barycenters—0
Deep Face Image Retrieval: a Comparative Study with Dictionary Learning—0
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